package com.lidsu.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.lidsu.common.to.es.SkuEsModel;
import com.lidsu.common.utils.R;
import com.lidsu.search.config.GulimallElasticSearchConfig;
import com.lidsu.search.constant.EsConstant;
import com.lidsu.search.fegin.ProductFeignService;
import com.lidsu.search.service.MallSearchService;
import com.lidsu.search.vo.AttrResponseVo;
import com.lidsu.search.vo.BrandVo;
import com.lidsu.search.vo.SearchParam;
import com.lidsu.search.vo.SearchResult;
import com.mysql.cj.QueryBindings;
import lombok.extern.slf4j.Slf4j;
import lombok.val;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.Aggregations;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import javax.swing.*;
import javax.swing.text.Highlighter;
import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;

@Slf4j
@Service
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    private RestHighLevelClient client;
    @Autowired
    private ProductFeignService productFeignService;

    //去es进行检索
    @Override
    public SearchResult search(SearchParam param) {
        //1.动态构建出查询需要的DSL语句
        SearchResult result = new SearchResult();
        //1.1 准备检索请求
        //SearchRequest searchRequest = new SearchRequest();
        SearchRequest searchRequest =buildSearchRequest(param);
        try {
            // 2.2. 执行检索请求
            SearchResponse response = client.search(searchRequest,GulimallElasticSearchConfig.COMMON_OPTIONS);
            //3.3 分析响应数据封装成我们需要的数据格式
            result =buildSearchResult(response,param);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;

    }


    /**
     * 准备检索请求：
     * 模糊查询，过滤（按照属性，分类，品牌，价格区间，库存）
     * 排序，分页，高亮
     * 聚合分析
     * @return
     */
    private SearchRequest buildSearchRequest(SearchParam param) {
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        /**
         *模糊查询，过滤（按照属性，分类，品牌，价格区间，库存）
         */
        //1构建bool-query
        BoolQueryBuilder boolQuery= QueryBuilders.boolQuery();
        //1.1 must-模糊匹配
        if(!StringUtils.isEmpty(param.getKeyword())){
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        //1.2  bool-filter-按照三级分类id 查询
        if(param.getCatelog3Id()!=null){
            boolQuery.filter(QueryBuilders.termQuery("catelogId", param.getCatelog3Id()));
        }
        //1.2 bool-filter-按照品牌id查询
        if(param.getBrandId()!=null&&param.getBrandId().size()>0){
            boolQuery.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }
        //1.2 bool-filter-按照所指定的属性进行查询
        if(param.getAttrs()!=null&&param.getAttrs().size()>0){

            for (String attrStr : param.getAttrs()) {
                BoolQueryBuilder nestedBoolQuery = QueryBuilders.boolQuery();
                //attr=1_5寸:8寸
                String[] s = attrStr.split("_");
                String attrId =s[0];//检索属性的Id
                String[] attrValues = s[1].split(":");//这个属性检索用的值
                nestedBoolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedBoolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                //每一个都要生成一个嵌入式nested查询
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedBoolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }
        }

        //1.2 bool-filter-按照是否有库存查询
        if(param.getHasStock()!=null){
            boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock()==1));
        }

        //1.2 bool-filter-按照价格区间查询
        if(!StringUtils.isEmpty(param.getSkuPrice())){
            //skuPrice形式为：1_500或_500或500_
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if(s.length==2){
                rangeQuery.gte(s[0]).lte(s[1]);
            }else if(s.length==1){
                if(param.getSkuPrice().startsWith("_")){
                    rangeQuery.lte(s[0]);   //TODO 左边界有bug
                }
                if(param.getSkuPrice().endsWith("_")){
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }
        //把以前所有的条件都拿来进行封装
        sourceBuilder.query(boolQuery);


        /**
         *排序，分页，高亮
         */
        //2.1 排序
        if(!StringUtils.isEmpty(param.getSort())){
            String sort = param.getSort();
            //sort=hotScore_asc/desc
            String []s=sort.split("_");
            SortOrder order=s[1].equalsIgnoreCase("asc")?SortOrder.ASC:SortOrder.DESC;
            sourceBuilder.sort(s[0],order);
        }
        //分页
        sourceBuilder.from((param.getPageNum()-1)*EsConstant.PRODUCT_PAGESIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);

        //2.3高亮
        if(!StringUtils.isEmpty(param.getKeyword())){
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }

        /**
         * 聚合分析
         */
        //1.品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);
        //1.1品牌聚合的子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        //TODO 聚合brand_agg
        sourceBuilder.aggregation(brand_agg);
        //2.分类聚合
        TermsAggregationBuilder catelog_agg = AggregationBuilders.terms("catelog_agg").field("catelogId").size(20);
        catelog_agg.subAggregation(AggregationBuilders.terms("catelog_name_agg").field("catelogName").size(1));
        //TODO 聚合catelog_agg
        sourceBuilder.aggregation(catelog_agg);
        //3.属性聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //3.1聚合出当前所有的attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        //3.2聚合分析出当前attr_id对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //3.3聚合分析出当前attr_id对应的所有的可能的属性值attrValue
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attr_agg.subAggregation(attr_id_agg);
        //TODO 聚合attr_agg
        sourceBuilder.aggregation(attr_agg);

        String s = sourceBuilder.toString();
        System.out.println("构建的DSL"+s);
        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
        return searchRequest;
    }

    /**
     *构建结果数据
     * @param response
     * @return
     */
    private SearchResult buildSearchResult(SearchResponse response,SearchParam param) {
        SearchResult result = new SearchResult();
        //1.查询所有查询到的商品
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels=new ArrayList<>();
        if(hits.getHits()!=null&&hits.getHits().length>0){
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);

                //判断是否按关键字检索，若是就显示高亮，否则不显示
                if (!StringUtils.isEmpty(param.getKeyword())) {
                    //拿到高亮信息显示标题
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String skuTitleValue = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(skuTitleValue);
                }
                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);
        ////2.当前商品涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        //获取属性信息的聚合
        ParsedNested attrsAgg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attrIdAgg = attrsAgg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attrIdAgg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            //1、得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            attrVo.setAttrId(attrId);

            //2、得到属性的名字
            ParsedStringTerms attrNameAgg = bucket.getAggregations().get("attr_name_agg");
            String attrName = attrNameAgg.getBuckets().get(0).getKeyAsString();
            attrVo.setAttrName(attrName);

            //3、得到属性的所有值
            ParsedStringTerms attrValueAgg = bucket.getAggregations().get("attr_value_agg");
            List<String> attrValues = attrValueAgg.getBuckets().stream().map(item -> item.getKeyAsString()).collect(Collectors.toList());
            attrVo.setAttrValue(attrValues);
            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);
        ////3.当前商品涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos=new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //1.得到品牌的id
            long brandId = bucket.getKeyAsNumber().longValue();
            brandVo.setBrandId(brandId);
            //2.得到品牌的名字
            ParsedStringTerms brandNameAgg = bucket.getAggregations().get("brand_name_agg");
            String brandName = brandNameAgg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandName(brandName);

            //3.得到品牌的图片
            ParsedStringTerms brandImgAgg = bucket.getAggregations().get("brand_img_agg");
            String brandImg = brandImgAgg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);

        ////4.当前商品涉及到的所有分类信息
        ParsedLongTerms catelog_agg = response.getAggregations().get("catelog_agg");
        List<SearchResult.CatelogVo> catelogVos=new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catelog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatelogVo catelogVo = new SearchResult.CatelogVo();
            //得到id
            String keyAsString = bucket.getKeyAsString();
            catelogVo.setCatelogId(Long.parseLong(keyAsString));
            //得到分类名
            ParsedStringTerms catelog_name_agg = bucket.getAggregations().get("catelog_name_agg");
            String catelog_name = catelog_name_agg.getBuckets().get(0).getKeyAsString();
            //TODO 不太一样
            catelogVo.setCatelogName(Collections.singletonList(catelog_name));
            catelogVos.add(catelogVo);
        }
        //result.setCatelogs();
        ////5. 分页信息-页码
        result.setPageNum(param.getPageNum());
        ////6.分页信息-总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        ////7.总页码
        int totalPages= (int) (total%EsConstant.PRODUCT_PAGESIZE==0?(int)total/EsConstant.PRODUCT_PAGESIZE:(total/EsConstant.PRODUCT_PAGESIZE+1));
        result.setTotalPages(totalPages);

        List<Integer> pageNavs=new ArrayList<>();
        for(int i=1;i<=totalPages;i++){
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);


        //6.构建面包屑导航功能

        if(param.getAttrs()!=null&&param.getAttrs().size()>0){
            List<SearchResult.NavVo> collect =  param.getAttrs().stream().map(attr->{
                //分析每个attrs传过来的参数值
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                //attrs=2_5寸:6寸
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                R r = productFeignService.attrInfo(Long.parseLong(s[0]));
                if(r.getCode()==0){
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>(){});
                    navVo.setNavName(data.getAttrName());
                }else{
                    navVo.setNavName(s[0]);
                }
                //2.取消面包屑之后的跳转，将请求地址url删除掉
                //拿到所有的查询条件.删除掉当前的查询条件
                String replace = replaceQueryString(param, attr,"attrs");
                navVo.setLink("http://search.lidsu.icu/list.html?"+replace);
                return navVo;
            }).collect(Collectors.toList());

            result.setNavs(collect);
        }
        //品牌。分类
        if(param.getBrandId()!=null&&param.getBrandId().size()>0){
            List<SearchResult.NavVo> navs = result.getNavs();
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            navVo.setNavName("品牌");
            //远程服务查询所有品牌
            R r = productFeignService.brandsInfo(param.getBrandId());
            if(r.getCode()==0){
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuffer buffer = new StringBuffer();
                String replace = "";
                for (BrandVo brandVo : brand) {
                    buffer.append(brandVo.getBrandName()+";");
                    replace = replaceQueryString(param, brandVo.getBrandId()+"","brandId");
                }
                navVo.setNavValue(buffer.toString());
                navVo.setLink("http://search.lidsu.icu/list.html?"+replace);
            }
            navs.add(navVo);
        }

        //TODO 分类：不需要导航取消


        return result;
    }

    private String replaceQueryString(SearchParam param, String value,String key) {
        String encode=null;
        try {
           encode = URLEncoder.encode(value, "UTF-8");
           encode = encode.replace("+", "%20");//浏览器对空格编码和java不一样
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        String replace = param.get_queryString().replace("&"+key+"=" + encode, " ");
        return replace;
    }


}
